Django Framework Projects for Final Year

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Django Framework Projects for final year students and the latest project ideas for BSc, BS, BE, BEng, MSc, MS, BCA, MCA, BTech and MTech. These Django Framework projects play an important role in a student’s final year learning. These projects help students understand real applications and apply technical concepts in a practical way. Choosing the right Django Framework project also improves practical knowledge and builds confidence for future careers.

Django Framework Projects for Final Year

Latest Django Framework Project Ideas

  1. Online Election System Using Python
    This project is an Online Election System built using Python. It allows people to vote safely from their computers without visiting a polling booth. Admins can manage elections, add candidates, and check results easily. Users can register, view election details, and cast their vote securely from anywhere.
  2. Online Fake Logo Detection System
    This project is an online system that helps people check if a product’s logo is real or fake. It lets users quickly identify counterfeit items before buying them. The system also helps brands protect their logos and reputation. It is built using Python and the Django framework.
  3. Leaf Detection System using OpenCV Python
    This project is a Leaf Detection System that can identify leaves from an image. Users can upload a leaf image, and the system will detect the leaf and tell its type. It uses Python and OpenCV for image recognition and shows how accurate the detection is. The system is easy to use and works through a web interface.
  4. Three-Level Password System Using Python
    This project develops a secure login system with three layers of passwords using Python. This project helps protect user accounts by combining text passwords, color choices, and image selection. This project makes it very difficult for hackers or bots to break into the system. This project is easy to use and suitable for students learning security based applications.
  5. Python Doctor Appointment Booking System
    This project builds an online system that helps patients book doctor appointments easily from home. It shows available doctors, dates, and time slots so users can choose what suits them. Patients, doctors, and admins can log in to manage appointments and records. This reduces waiting time and avoids missed or cancelled visits.
  6. Smart Campus Surveillance and Guidance System
    This project is a smart system for universities that uses cameras to watch over the campus and guide students to their classes. It can recognize students and give them directions if they are in the wrong place. The system helps keep the campus safe and organized. The admin manages all the data about students, classes, and cameras to make it work effectively.
  7. File Transfer System using Elliptic Curve Cryptography
    This project builds a secure system for sending and receiving files over the internet. It protects data so that only the correct user can read it. The system uses strong encryption methods to keep files safe during transfer. Users can register, log in, and share files with confidence.
  8. Music Genres Classification using KNN System
    This project automatically identifies the genre of a song from an audio file. The user uploads a music file and the system analyzes its sound patterns. It then compares the song with known examples and finds the closest match. Finally, the detected music genre is shown to the user.
  9. Ecommerce Fake Product Reviews Monitor and Deletion System
    This project helps online shoppers know which product reviews are real and which are fake. It automatically finds fake reviews by checking repeated activity from the same source and alerts the admin to remove them. Users can safely read genuine reviews, post their own opinions, and buy products confidently without being misled. The system is easy to use and saves time for both customers and website managers.
  10. Green Screen Background Remover using OpenCV Python
    This project removes a green background from images and videos and replaces it with a new background. The user uploads a green screen photo or video and selects a background image. The system automatically detects and removes the green color. The final output shows the subject placed in the chosen background.
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